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BuySell Dominates Cyprus Real Estate Market, Study Reveals

A study by IMR/University of Nicosia analyzed online property listings in Cyprus and found that BuySell holds the largest share across major platforms. The research updates earlier findings from 2025 and reflects continued growth in digital real estate activity.

Methodology And Data Collection

The study examined active property listings across BuySell, Bazaraki, and Facebook Marketplace. Data were collected daily between March 9 and March 13, 2026, covering all five districts and key categories, including apartments, houses, land/plots, and commercial properties. A five-day average was used to improve consistency.

Key Findings

BuySell recorded a market share between 71% and 82%, ahead of other platforms. Bazaraki accounted for between 18% and 29%, while Facebook Marketplace remained below 1.3%. Across districts and categories, BuySell maintained the highest share, particularly in land/plots and commercial properties. Limassol and Nicosia showed the highest activity levels among districts. Limitations in filtering and mixed listings were noted for Facebook Marketplace, affecting its use as a dedicated property platform.

Market Share Analysis By District

BuySell recorded the highest share in all districts. Nicosia reached 81.6%, followed by Larnaca at 80.4% and Paphos at 78.9%. Limassol and Famagusta showed lower but still leading shares at 71.5% and 71.1%, respectively.

Market Share Analysis By Category

BuySell led across all categories. Shares reached 82.9% in commercial properties and 81.3% in land/plots. Houses and apartments recorded 73.1% and 74.0% respectively. Bazaraki showed a relatively stronger presence in residential segments but remained below BuySell across categories.

Conclusion: Digital Transformation In Real Estate

The data indicate continued growth in digital platforms for property transactions in Cyprus. Online listings remain the primary channel for property marketing, with platform concentration evident across districts and categories.

Copyright Law Struggles To Keep Up With AI Training

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

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